Professional Certificate in HR Management and Analytics
The Professional Certificate in Human Resource Management and Analytics from IIT Roorkee offers a comprehensive curriculum combining traditional HR practices with modern analytics. This 6-month program equips professionals with practical skills in HR management, data analysis, and strategic decision-making.
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Overview
The Professional Certificate in Human Resource Management and Analytics from CEC, IIT Roorkee is a comprehensive program designed for professionals seeking to master both traditional HR practices and modern analytics. The program combines academic excellence with industry-relevant skills, featuring hands-on training with tools, case studies, and real-world projects.
Why Management?
This program stands out by offering a unique blend of HR management fundamentals and advanced analytics capabilities. Students benefit from IIT Roorkee's academic excellence combined with industry expertise, ensuring practical skills development. The program includes premium access to LinkedIn Learning, pro access to IIMJobs and Hirist, and a valuable campus immersion experience.
What does this course have to offer?
Key Highlights
2-day campus immersion at IIT Roorkee
Premium LinkedIn Learning access
Pro access to IIMJobs and Hirist
Industry-recognized certification
Career assistance and mentorship
Comprehensive curriculum covering HR analytics
Hands-on training with tools and case studies
Who is this programme for?
Working professionals in HR
Graduates seeking HR career
HR professionals wanting analytics skills
Professionals transitioning to HR
Data enthusiasts interested in HR analytics
Minimum Eligibility
Bachelor's degree with 50% marks
Basic computer proficiency
No prior coding experience required
Access to computer and stable internet
Who is the programme for?
The program follows a comprehensive admission process evaluating academic background and professional potential. Candidates must hold a bachelor's degree with minimum 50% marks. The curriculum is delivered through weekend live sessions over six months, combining theoretical knowledge with practical applications.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum covers essential HR management topics and analytics tools, including HR processes, recruitment strategies, performance management, compensation planning, and organizational culture. Advanced modules focus on data analysis using Excel, Python, and machine learning techniques for HR applications.
There are 14 semesters in this course
The program comprises multiple modules covering both traditional HR management and modern analytics. Core topics include human resource management in business environments, job analysis, recruitment strategies, performance management, and compensation planning. Advanced modules cover statistical analysis, Excel, Python programming, and machine learning applications in HR. Each module includes practical exercises and case studies.
Human Resource Management in the current business environment
Overview of HRM landscape and strategic perspectives
Navigating the HRM Landscape
Intro to Business Environment
Understanding internal and external environment
Theoretical perspectives on Strategic HRM
Linking HR strategies with business strategies
Models of strategic HRM
Job analysis and Crafting
Comprehensive study of job design and analysis methodologies
Job design and work systems
Introduction to job design and work systems
Understanding the job characteristics model (JCM)
Job analysis and data collection
Methods of collecting job analysis data
Information obtained through job analysis
Strategizing the HR Process: Recruitment, selection, and retention strategies
Focus on recruitment and retention strategies
Recruitment
Introduction to recruitment
Understanding the traditional model of recruitment
Employee retention
Understanding employee retention
Attraction-Selection-Attrition (ASA) Framework
Performance Appraisal and Management
Study of performance evaluation systems and methods
Performance appraisal process
Meaning and importance of performance appraisal
The process of performance appraisal
Limitations of appraisal systems
Goal setting and methods of performance appraisal
Goal-setting process in appraisal system
Performance methods
Training and Development
Exploration of training methodologies and assessment
Training and development
Need and importance of training and development
Training needs assessment and Faliure
Training needs assessment
Reasons for the failure of training programs
Causes and outcomes of training needs assessment
Salary and Compensation
Analysis of compensation systems and reward strategies
Employee compensation and Rewards
Introduction to employee compensation
Objectives and importance of reward systems
Classification of reward systems
Compensation pay and Performance Sharing
Approaches to compensation
Types of performance pay
Gain-sharing vs performance sharing
Skill and Competency Development
Understanding of skill development and competency mapping
Skill and Competency
Meaning and importance of skills and competency ASK model
Understanding the attitude-skill and knowledge (ASK) model
competency mapping and Iceberg Model
Objectives of competency mapping
iceberg model of competency
Diversity Management
Study of workplace diversity and inclusion strategies
Diversity in organizations
Introduction to diversity in organizations
What is diversity and inclusion
Why there is a need to maintain a diverse and inclusive workforce
Diveristy Impact
The impact of diversity at the workplace
Ways to effectively manage diversity
Organizational Culture Building
Analysis of organizational culture development
Organizational culture
Introduction to organizational culture
National vs organizational culture
Building blocks and Models
Building blocks of organizational culture
Hofstede's model of organizational culture
Cultural iceberg and socio-cultural setting
Employee Engagement
Study of engagement strategies and implementation
Employee engagement and its levels
Need and importance of employee engagement
Levels of employee engagement
Components of employee engagement
Benefits of employee engagement and ways to do it
Benefits of employee engagement
Ways and means to foster employee engagement in an organization
Introduction to MS-Excel
Technical training in Excel for HR analytics
Introduction to MS-Excel
Creating basic workbooks
Columns and rows
Using ranges
Working with data
Data entry
Sorting Data
Commonly used inbuilt functions and features
Using Basic Formulas
Conditional Formatting
Data Validation
Text to Columns
Protection of Data
Statistical Data Analysis
Application of statistical methods in HR
Statistical Measures
Mean
Median
Mode
Standard Deviation
Percentiles
Quartiles
Correlation-Pearson and Spearman
Parametric Tests
One-sample t-test
Independent sample t-test
Paired t-test
Non-Parametric Tests
Python as a tool for HR Analytics
Applicants must possess a Bachelor's Degree or equivalent (10+2+3/4) with a minimum of 50% aggregate in the qualifying degree from STEM discipline.
Introduction to python
Data structure in python
Loops
Control structure
Importing and exporting excel files
Comma separated files in python
Data exploration and visualization
Graphs
Statistics using python
Various Libraries in Python
Data cleaning and data preparation
Machine learning for analyzing HR data
Candidates should have qualified in any one of the entrance examinations such as CAT, MAT, CMAT, XAT, ATMA, GMAT, TANCET or a similar exam.
Introduction to machine learning
Role of machine learning in HR Analytics
Supervised vs unsupervised machine learning
Supervised machine learning techniques
Basic introduction to unsupervised machine learning techniques
Data science project life cycle and types
Linear Regression
Interpretation of output
Classification technique
Clustering
Programme Length
The program runs for 6 months with weekend live sessions, allowing professionals to balance their education with work commitments. The format includes a mix of live lectures, hands-on workshops, and self-paced learning components.
Tuition Fee
The program fee is ₹1,60,000 + GST, with flexible payment options available. The fee structure includes: Registration Fee: ₹20,000 + GST, Installment 1: ₹55,000 + GST, Installment 2: ₹45,000 + GST, Installment 3: ₹40,000 + GST.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students experience a blend of theoretical and practical learning through live online sessions, case studies, and hands-on projects. The program includes interactive sessions with industry experts, peer learning opportunities, and access to premium learning resources through LinkedIn Learning.
University Experience
The program offers a comprehensive learning environment with access to IIT Roorkee's resources and faculty expertise. Students participate in a 2-day campus immersion program, gaining exposure to the institute's facilities and networking opportunities. The experience includes interaction with faculty members and industry professionals.
Word from the Directors
Prof. Rajib Lochan Dhar
Leading Innovation in HR Education
HR meets Big Data: A Data-Driven Framework Takes Center Stage
About the University
Established in 1847, IIT Roorkee is one of the oldest engineering institutions in India and was designated as an Indian Institute of Technology in 2001. Located in Roorkee, Uttarakhand, it is recognized for its academic excellence and research contributions in engineering, science, and technology. IIT Roorkee offers a variety of undergraduate, postgraduate, and doctoral programs across multiple disciplines.
6
NIRF Ranking (2024)
335
QS World University Ranking (2024)
23
Number of academic departments
Affiliation & Recognition
Ministry of Education, Government of India
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National Board of Accreditation (NBA)
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International Association of Universities
Career services
The Placement and Internship Cell at IIT Roorkee provides comprehensive support for students' career development. Services include career counseling, resume workshops, job fairs, and networking events with industry professionals. The cell also facilitates internships and co-op opportunities to enhance practical experience.
95%
Placement rate
₹12 LPA
Average salary offered to graduates
200+
Number of recruiters visiting annually
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Professor Department of Management Studies, IIT Roorkee
Prof. Rajib Dhar has established himself as a distinguished expert in Human Resources, having trained over 1000 professionals and developed particular expertise in HR analytics, where he combines theoretical knowledge with practical applications to help organizations make data-driven decisions in areas including talent development, employee engagement, diversity management, retention strategies, compensation optimization, and performance management, ultimately empowering professionals to leverage analytical insights for enhancing organizational effectiveness and fostering a data-driven approach to HR practices that drives strategic decision-making and workplace culture enhancement.
Industry Expert
Dr. Sandeep Prabhu combines extensive academic credentials, including BE (Mechanical), dual MBAs in Marketing and Finance, UGC-Net certification, and a PhD in Management, with over 12 years of corporate experience at major companies like Kirloskars, Philips, Milton, Toshiba, and Godrej, while also establishing himself as an accomplished Data Scientist with expertise in various analytics platforms including IBM SPSS, R-Programming, Python Programming, Stata, and IBM-Amos, alongside specialized knowledge in Business Statistics, Business Analytics, Machine Learning, and Deep Neural Networks, which he has applied through corporate training programs for companies such as Wipro, Ceat Tires, Godrej Properties, Amdocs, Allscripts, and Tata Auto Components, as well as international corporate executives at Westford Business School, Dubai, while also serving as visiting faculty for Symbiosis (SIBM) Executive MBA programs.
Testimonials
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4.9 course rating
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Expert in Advanced Wireless Communication at IIT Roorkee"
Abhay Kumar Sah is an Assistant Professor at IIT Roorkee, specializing in advanced wireless communication. He teaches the course "Foundations of Advanced Wireless Communication," which covers essential concepts, techniques, and algorithms necessary for understanding and designing modern wireless communication systems. The course includes topics such as multi-antenna systems, MIMO (Multiple Input Multiple Output), massive MIMO for 5G, and various multiple access techniques like OFDM (Orthogonal Frequency Division Multiplexing) and NOMA (Non-Orthogonal Multiple Access).
Expert in Optimization and Mathematics
Dr. S. K. Gupta is currently an Associate Professor in the Department of Mathematics at IIT Roorkee, specializing in areas such as Support Vector Machines, Fuzzy Optimization, and Mathematical Programming, which encompasses duality theory, non-smooth and non-convex optimization, vector optimization, and variational inequalities. He earned his Ph.D. in Optimization Theory from IIT Roorkee in 2008. Throughout his career, Dr. Gupta has received several accolades, including the "Outstanding Teacher Award" at IIT Roorkee in 2018 and the "Best Teacher Award" at IIT Patna in 2010. He was also a gold medalist in MSc (Applied Mathematics) from IIT Roorkee in 2002. Having guided six PhD theses, he is currently supervising five more. Dr. Gupta has published over 55 research articles in reputable international journals and is an active member of the Operational Research Society of India, as well as a contributor to the Working Group on Generalized Convexity.
Instructors
Professor Department of Management Studies, IIT Roorkee
Prof. Rajib Dhar has established himself as a distinguished expert in Human Resources, having trained over 1000 professionals and developed particular expertise in HR analytics, where he combines theoretical knowledge with practical applications to help organizations make data-driven decisions in areas including talent development, employee engagement, diversity management, retention strategies, compensation optimization, and performance management, ultimately empowering professionals to leverage analytical insights for enhancing organizational effectiveness and fostering a data-driven approach to HR practices that drives strategic decision-making and workplace culture enhancement.
Industry Expert
Dr. Sandeep Prabhu combines extensive academic credentials, including BE (Mechanical), dual MBAs in Marketing and Finance, UGC-Net certification, and a PhD in Management, with over 12 years of corporate experience at major companies like Kirloskars, Philips, Milton, Toshiba, and Godrej, while also establishing himself as an accomplished Data Scientist with expertise in various analytics platforms including IBM SPSS, R-Programming, Python Programming, Stata, and IBM-Amos, alongside specialized knowledge in Business Statistics, Business Analytics, Machine Learning, and Deep Neural Networks, which he has applied through corporate training programs for companies such as Wipro, Ceat Tires, Godrej Properties, Amdocs, Allscripts, and Tata Auto Components, as well as international corporate executives at Westford Business School, Dubai, while also serving as visiting faculty for Symbiosis (SIBM) Executive MBA programs.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.
Minimum 50% in graduation from any recognized university
No prior coding experience is needed
6 months with weekend live sessions
INR 1,60,000 + GST
Yes, career assistance including resume building and interview preparation